https://www.avriomedtech.com/articles daily 0.75 2026-06-25 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850373583-WQSCLLW5MP0HYWLO1H7L/02_AVRIO_Ligne-coeur.png https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/7e219537-84b2-42f6-b0e8-b1e5da2a4815/Article+-+Avrio.webp https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370297-XB33B6DRH5LJV3LYWQ2V/Capture+d%27%C3%A9cran+2025-09-24+161505.png https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370413-S25WD59PWCOC7ELJ3TZ9/Picture3+hfo.png https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370279-4MIQ1SRVPF80O1EFF6AY/ground_truth.png https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370333-GUIK86QE89WNWK85AOZ4/Halyzia.jpg https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370395-L0UL7MDU2X9RFLXWTTJN/FR+heart+1.png https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850375688-B8D0H90W6C12AU0M3F98/Grille_Ligne.png https://www.avriomedtech.com/articles/hfo-detection-in-seeg monthly 0.5 2026-06-25 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/e900e927-fc53-45cf-a2b2-63cffc5fe0b7/Partamian.jpg Articles - HFO detection in SEEG: Recent insights from the research community Following the comparison of several classifiers, results showed that the model including a combination of spike and ripple features achieved the best performance for predicting epileptogenic contacts, reaching an AUC-ROC of 0.89 and a 74% overlap with the resected tissue. Interestingly, while combining several features offered a clear advantage over individual feature predictions, the contribution of ripple features remained modest. These findings support the idea that no single biomarker feature fully captures the complexity of the epileptogenic network and that integrating information from multiple interictal biomarkers can provide a more robust estimate of epileptogenic tissue. Future work should consider extending such a multimodal framework to include fast ripples, which are often considered more specific markers of epileptogenic tissue than ripples. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/a7ca523b-5f97-41a8-920c-6ca0cb1966e0/Nevalainen.jpg Articles - HFO detection in SEEG: Recent insights from the research community - Fast ripples : a clinical validation study Illustration taken from the publication Nevalainen, P., et al (2026), Neurology. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/4cde2ced-8475-4aa5-9924-d75605390f07/Tan_Stacey.png Articles - HFO detection in SEEG: Recent insights from the research community Illustration taken from the publication Tan, S.B., et al., J. Neural Eng, 2026. https://www.avriomedtech.com/articles/seizure-onset-analyses-using-the-epileptogenicity-index monthly 0.5 2026-06-25 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/e96d78e0-5f3c-445e-8e8e-283f92281fa6/J_Curot.webp Articles - Seizure onset analyses using the Epileptogenicity Index - Professor Curot is an epileptologist practicing at the Toulouse University Hospital, and working in research at the Brain and Cognition Research Center (CerCo) CNRS lab (Toulouse, France). He has a long-standing experience in intracranial EEG quantitative analysis, from both macro and micro electrodes recordings. https://www.avriomedtech.com/articles/filtering-your-seeg-signalnbsp monthly 0.5 2026-06-09 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/9c6bead0-7104-49a2-bca4-8eda5507fa39/Figure_filters.png Articles - Filtering your SEEG signal  - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/f4d5d494-68d3-4699-97de-f367b0d95008/Filter_table.png Articles - Filtering your SEEG signal  - (*) can be corrected by forward-backward filtering (*) can be corrected by forward-backward filtering https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/56f04375-5388-4dce-a8f3-eaacc4c70d74/Filter_FR_example.png Articles - Filtering your SEEG signal  - Make it stand out Example of raw (top) and filtered (bottom) fast ripple on Halyzia© using an 8th-order IIR bandpass [200-600 Hz] https://www.avriomedtech.com/articles/validating-ieeg-biomarkers-is-difficult monthly 0.5 2026-06-21 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370271-NWVYJC7G4PI9LHC7AW0K/ground_truth.png Articles - Why validating iEEG biomarker detectors is so difficult - Make it stand out What is the ground truth? When experts disagree on event annotations, establishing an objective ground truth against which to benchmark algorithms is a challenging task. https://www.avriomedtech.com/articles/detecting-combined-interictal-biomarkers-with-halyzia--bnheb monthly 0.5 2025-10-16 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370289-BRI0HVH3FS5SACDSAPZT/PosterAvrio_JFE2025_CB.png Articles - Combined interictal biomarkers - Make it stand out JFEs 2025 (27èmes Journées Françaises de l'Épilepsie), first authored October 2025 https://www.avriomedtech.com/articles/epileptic-spikes-detector-b2hys-jgzns monthly 0.5 2026-01-05 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370306-GH90D8S6CS9TLG9VPPLN/Halyzia.jpg Articles - Why the name Halyzia®? - Figure 1: Blobs on a scalogram. See how the blobs are reminiscent (yes, with some imagination) of ladybirds. Top panel: raw signal. Middle panel: signal filtered between 200 and 600Hz. Bottom panel: normalised scalogram. The event view windows of Halyzia presents the data this way. https://www.avriomedtech.com/articles/fast-ripples-ripples-detectors-kwpdt-s9bj5 monthly 0.5 2026-06-08 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370370-WEC1ZKSPYEXFWD2C6AMP/FR+heart+1.png Articles - Funny scalograms A nice “love” blob found by Ludovic, while developing the first version of Halyzia. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370378-UW8KT761CWTE26PFB8SQ/Cat2.png Articles - Funny scalograms Some of us saw a cat in this funny shape found by Clarissa, research officer at Avrio. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370386-O1XSMHY62V6JU514Z9DE/T-Rex2.png Articles - Funny scalograms Who can see the minature T-Rex? Found by Loïc, data scientist at Avrio. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/43d49dc2-cf79-40a9-8ea7-ff7e65141612/Funny_cutie.png Articles - Funny scalograms - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://www.avriomedtech.com/articles/high-frequency-oscillations-zzx4b-jwbpg monthly 0.5 2025-10-24 https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370404-AE7M01E3B3AN8RNHZZ02/oscillations.png Articles - Introduction to HFOs - Démarquez-vous Figure 1. Range of EEG oscillation frequencies. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370413-S25WD59PWCOC7ELJ3TZ9/Picture3+hfo.png Articles - Introduction to HFOs - Démarquez-vous Figure 2. Example of a fast ripple (highlighted in red) occurring just before an epileptic spike, as detected by Halyzia. Note the time scale of the window—only 400 ms—to allow clear visualization of the fast ripple. Top panel: raw EEG signal; middle panel: band-pass filtered signal (200–600 Hz); bottom panel: scalogram illustrating the frequency content of the fast ripple. Various features are computed for each detected event, including frequency, amplitude, duration, and entropy. These metrics can be reviewed and exported for further analysis. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370421-C6FOUXLMX003QZFQJAPG/Ripple+example+from+Halyzia.png Articles - Introduction to HFOs - Démarquez-vous Figure 3. Example of a ripple detected with Halyzia. Beware of the time scale of the window, here set to 700 ms to clearly see the ripple. Top panel: raw signal, middle panel: filtered signal (80-250 Hz), bottom panel: scalogram showing the frequency range of the ripple. Different metrics are calculated for each ripple (frequency, amplitude, duration, entropy, etc.). These can be reviewed and exported. https://images.squarespace-cdn.com/content/v1/6a071a312969a123a600a927/1778850370429-VSTS24KKEH7MTXSA4C6D/Topographic+map.png Articles - Introduction to HFOs - Démarquez-vous Figure 4. Example of a topographic map. This maps represents implanted electrodes (10 on the left, 4 on the right hemisphere) and the contacts on each electrode. The results indicate that fast ripples were mostly recorded on contacts 1-2-3-4 of electrodes Ap, Bp and Cp. 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